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multisoftsystem · 5 months ago

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Get Certified in Splunk ITSI with Multisoft Systems

In today's fast-paced and data-driven business landscape, the ability to monitor, analyze, and troubleshoot IT services is paramount. Enterprises worldwide are turning to advanced solutions that provide real-time visibility into their IT environments, ensuring that business operations run smoothly. One such solution is Splunk IT Service Intelligence (ITSI), a comprehensive platform that enables businesses to monitor and optimize IT services with a focus on delivering outstanding user experiences. Multisoft Systems, a leading provider of IT training and certification courses, offers specialized Splunk ITSI online training, course, and certification to help professionals gain the skills they need to master this cutting-edge tool.

What is Splunk IT Service Intelligence (ITSI)?

Splunk IT Service Intelligence (ITSI) is an advanced analytics and monitoring platform that provides end-to-end visibility across your IT operations. It helps IT teams monitor, analyze, and visualize complex IT services by using real-time data to generate insights. By integrating data from various IT systems, Splunk ITSI enables organizations to monitor the health of critical services, quickly detect anomalies, and predict future issues before they affect business operations.

Key features of Splunk ITSI include:

Service Monitoring: ITSI gives you a unified view of your IT services, including application performance, network health, and infrastructure.

Anomaly Detection: ITSI uses machine learning algorithms to automatically detect anomalies in data, alerting IT teams to potential problems.

KPI Visualization: ITSI allows you to define and track key performance indicators (KPIs) for IT services, ensuring that all stakeholders can see the performance metrics that matter most.

Event Correlation: Splunk ITSI can correlate events from different sources to pinpoint the root cause of issues, providing faster resolution times and less downtime.

Predictive Analytics: ITSI’s predictive capabilities help organizations forecast potential future issues and plan preventive actions, improving overall IT service reliability.

Why Choose Splunk ITSI for IT Service Management?

Splunk ITSI is becoming increasingly popular among businesses for several reasons:

Proactive Monitoring: Unlike traditional monitoring systems that only provide a post-incident analysis, Splunk ITSI enables businesses to proactively address issues before they escalate, thus improving service uptime and customer satisfaction.

Integrated Insights: ITSI integrates data from various silos, providing a holistic view of your IT operations. This eliminates the need to juggle multiple tools and gives you a comprehensive view of performance metrics across systems, networks, and applications.

Enhanced Decision-Making: By leveraging machine learning and AI, Splunk ITSI provides intelligent insights, enabling IT teams to make data-driven decisions quickly. This helps in reducing mean time to resolution (MTTR) and increasing the overall effectiveness of IT teams.

Cost-Effective Service Optimization: By identifying inefficiencies and bottlenecks in your IT services, Splunk ITSI can help optimize resources and reduce unnecessary operational costs, making your IT infrastructure more efficient and cost-effective.

Scalability: Splunk ITSI is highly scalable, allowing businesses to adapt to the growing demands of modern IT infrastructures. It can handle the increasing volume of data and services without compromising on performance or reliability.

Online Training: A Gateway to Splunk ITSI Mastery

Mastering Splunk ITSI is crucial for professionals seeking to stay ahead in the rapidly evolving IT field. Multisoft Systems offers Splunk ITSI online training, which is designed to equip participants with the necessary skills and knowledge to implement, configure, and manage ITSI in real-world environments. This online training program is tailored for IT professionals who want to harness the power of Splunk ITSI to enhance service intelligence and overall IT operations.

The Splunk ITSI online course is structured to provide a comprehensive understanding of the platform’s capabilities, from the fundamentals to advanced features. The course is delivered in an interactive online format, allowing students to learn at their own pace while receiving expert guidance from experienced trainers.

Key topics covered in the Splunk ITSI online training include:

Introduction to Splunk ITSI: Understanding the core components and architecture of ITSI.

Service Monitoring and KPIs: Setting up services, defining KPIs, and visualizing them effectively.

Anomaly Detection and Predictive Analytics: Leveraging machine learning to detect anomalies and forecast potential issues.

Event Correlation and Root Cause Analysis: Using Splunk ITSI to perform event correlation and identify the root cause of IT service disruptions.

Splunk ITSI Dashboards and Visualization: Creating powerful and intuitive dashboards to track service health and KPIs.

Automation and Alerting: Configuring alerts and automating remediation processes based on detected anomalies.

Through this online course, participants will learn how to optimize the performance of their IT infrastructure, improve service uptime, and reduce operational risks using Splunk ITSI.

Splunk ITSI Certification: The Path to Professional Growth

Upon completing the Splunk ITSI online training, participants have the opportunity to earn the Splunk ITSI certification. This certification is a testament to your expertise in implementing, managing, and optimizing Splunk ITSI in real-world environments. Earning the certification demonstrates your proficiency in using Splunk ITSI to improve IT service monitoring, performance, and incident response.

The Splunk ITSI certification is highly regarded in the IT industry, and certified professionals are in high demand by organizations looking to leverage the power of data-driven decision-making in their IT operations. The certification is designed for professionals who work in IT operations, service management, and DevOps roles, and it adds significant value to your career portfolio.

Benefits of Splunk ITSI Online Training and Certification

Gain Hands-On Experience: The online training program provides practical, hands-on experience, allowing you to work with real-world scenarios and build a strong foundation in Splunk ITSI.

Stay Current with Industry Trends: Splunk ITSI is an essential tool in the modern IT landscape. Completing the course and certification ensures you stay ahead of industry trends and maintain a competitive edge.

Career Advancement: The Splunk ITSI certification opens up various career opportunities, including roles such as IT Service Manager, IT Operations Analyst, and DevOps Engineer, all of which require expertise in service monitoring and analytics.

Learn from Experts: Multisoft Systems’ trainers are experienced professionals with deep knowledge of Splunk ITSI and other IT service management solutions. They will guide you throughout the course, providing valuable insights and best practices.

Flexible Learning: The online training format allows you to learn from anywhere, at any time. This makes it easier for busy professionals to balance work and training, ensuring they can advance their skills without compromising on their job responsibilities.

Conclusion

In an era where IT disruptions can significantly impact business performance, the ability to monitor, analyze, and optimize IT services has become more critical than ever. Splunk IT Service Intelligence (ITSI) is the tool that empowers IT teams to stay ahead of potential issues and ensure smooth operations. By enrolling in Splunk ITSI online training with Multisoft Systems, you can equip yourself with the skills needed to master this powerful platform and drive business success.

With Splunk ITSI certification, you'll not only enhance your career prospects but also contribute to optimizing IT service delivery within your organization. Whether you're an IT professional, service manager, or DevOps engineer, this training will provide you with the tools to make informed decisions, reduce downtime, and improve the overall performance of your IT infrastructure. Get started today and unlock the full potential of Splunk ITSI with Multisoft Systems.

#Splunk IT Service Intelligence Training #Splunk ITSI Course #Splunk IT Service Intelligence Certification

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smartcitysystem · 1 month ago

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Why Splunk Is the Go-To Platform for Enterprise Security and Observability

In today’s digital-first world, organizations generate and rely on vast volumes of machine data to run their operations, serve customers, and protect digital assets. As cyber threats grow in complexity and IT environments become more fragmented with cloud, hybrid, and multi-cloud setups, enterprises are under pressure to maintain visibility, ensure compliance, and respond to incidents in real time. Enter Splunk: the platform leading enterprises trust for security, observability, and data-driven decision-making.

Splunk has become synonymous with real-time analytics and intelligent monitoring. Its ability to ingest, index, and correlate data from virtually any source makes it indispensable for enterprises seeking to gain end-to-end visibility across their digital infrastructure. But what exactly makes Splunk service the go-to platform for enterprise security and observability? Let’s break it down.

1. Unified Data Platform for Security and IT Operations

Splunk provides a unified platform that bridges the gap between IT security, and business operations. Unlike siloed tools that provide fragmented views, Splunk consolidates data from across your network, applications, endpoints, and cloud services to deliver a single source of truth.

Whether you’re monitoring for performance issues, detecting security breaches, or ensuring compliance, Splunk enables stakeholders to work from a common, real-time data set. This holistic approach empowers faster, more accurate decisions and fosters collaboration across departments.

2. Powerful Security Information and Event Management (SIEM) Capabilities

One of the strongest use cases for Splunk is in enterprise security. Splunk Enterprise Security (ES) acts as a powerful SIEM platform, enabling security teams to detect, investigate, and respond to threats efficiently. It offers advanced analytics, prebuilt dashboards, threat intelligence integration, and real-time alerting.

With features like risk-based alerting, behavioral analytics, and threat detection rules, Splunk helps security teams cut through the noise and focus on high-priority incidents. It empowers analysts to conduct rapid incident response and forensic investigations using historical data.

3. Unmatched Observability Tools for Modern Applications

Observability is more than just monitoring—it’s about understanding system behavior across distributed environments. Splunk Observability Cloud offers a full-stack observability solution that includes infrastructure monitoring, application performance monitoring (APM), log analysis, and synthetic transaction testing.

By leveraging OpenTelemetry and AI-driven insights, Splunk provides real-time visibility into system health, user experiences, and performance bottlenecks. This enables DevOps and SRE teams to troubleshoot faster, optimize application performance, and deliver consistent uptime.

4. Scalability for Enterprise Workloads

Enterprise environments are complex, and the volume of machine data they produce can be staggering. Splunk is designed to scale with your business, whether you're analyzing gigabytes or petabytes of data daily. Its distributed architecture supports horizontal scaling and high availability, ensuring consistent performance even under heavy loads.

This scalability is critical for large enterprises that require long-term retention, high-speed analytics, and support for thousands of users accessing data concurrently.

5. Advanced Analytics and Machine Learning

Splunk's analytics capabilities go beyond simple search and dashboards. With built-in machine learning (ML) and support for custom models, Splunk enables predictive analytics, anomaly detection, and behavior profiling. Security and IT teams can use ML to identify suspicious patterns, forecast system failures, or automate threat detection.

The Splunk Machine Learning Toolkit (MLTK) empowers users to apply, train, and tune models using their existing data—no data science degree is required. This intelligent layer of automation enhances situational awareness and drives proactive responses.

6. Robust Ecosystem and Integrations

Splunk integrates seamlessly with a wide range of tools, platforms, and services, including AWS, Microsoft Azure, Google Cloud, Kubernetes, ServiceNow, Palo Alto Networks, and more. These integrations extend Splunk’s capabilities and ensure it fits naturally into your existing technology stack.

The Splunkbase app marketplace features thousands of apps and add-ons for specialized data sources, dashboards, and utilities—making it easier for teams to customize the platform to suit their needs.

7. Enhanced Compliance and Audit Readiness

For industries like finance, healthcare, and government, regulatory compliance is a top priority. Splunk simplifies compliance management by offering prebuilt dashboards and reports aligned with standards like HIPAA, PCI DSS, GDPR, and ISO 27001.

Automated data collection, alerting, and audit trails make it easier to demonstrate compliance and pass audits with confidence. Splunk also provides role-based access controls and data masking to protect sensitive information.

8. Flexible Deployment Options: On-Prem, Cloud, or Hybrid

Not all enterprises are at the same stage of cloud adoption. Splunk’s flexible deployment options allow organizations to deploy the platform on-premises, in the cloud, or a hybrid environment.

Splunk Cloud Platform offers the same functionality as on-prem with the added benefits of scalability, automatic updates, and reduced infrastructure management. It’s ideal for businesses that want to accelerate time to value and reduce operational overhead.

9. Real-Time Dashboards and Visualizations

Splunk’s intuitive dashboards and data visualizations help users transform raw machine data into actionable insights. From real-time alerts on security threats to performance metrics for executive reports, Splunk offers customizable dashboards that can be tailored to user roles and use cases.

Interactive charts, graphs, and maps help bring data stories to life, making it easier for decision-makers to act on insights without technical barriers.

Final Thoughts: Why Splunk Stands Out

In a world where data is both a powerful asset and a potential liability, having the right tools to manage, secure, and understand your data is critical. Splunk delivers on all fronts—offering real-time analytics, enterprise-grade security, and unparalleled observability.

By unifying IT operations, DevOps, and security teams around a single data platform, Splunk breaks down silos, accelerates response times, and drives digital resilience. Its flexibility, intelligence, and scalability make it the ideal choice for enterprises navigating the complexities of modern IT environments.

If your organization is ready to move beyond reactive monitoring and embrace intelligent, proactive operations, Splunk is not just an option—it’s the answer.

#splunk services #microsoft azure sentinel #Splunk solutions #splunk enterprise #splunk security #Splunk consultant #microsoft sentinel #SIEM solutions #Sentinel

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sassygardenerstudent · 5 months ago

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North America AIOps Platform Market In-Depth Analysis of the Current Development Stage, Effective Counter Strategies, Size, Status and Forecast 2022-2028

The North America AIOps platform market is expected to grow from US$ 1,238.17 million in 2021 to US$ 8,810.61 million by 2028; it is estimated to grow at a CAGR of 32.4% from 2021 to 2028.

In dynamic, elastic contexts, traditional ways of controlling IT complexity—offline, manual activities requiring human intervention—do not even operate. It is no longer possible to track and manage this complexity by manual, human monitoring. For years, ITOps has exceeded human scale, and the situation is only getting worse. Organizations want their critical applications to be available and operate well.

📚 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐂𝐨𝐩𝐲@ https://www.businessmarketinsights.com/sample/BMIRE00025397

They are also seeking a highly automated setup, that makes it easier to make clear decisions about new product development by leveraging classified data. Hence, the introduction of the AIOps platform has catered to these demands. AIOps platforms consolidate all applications and infrastructure operations into a single management portal with a dashboard view. Studies claim that AIOps can automatically perform 90% of the operative tasks, and human interaction is required only for 10% of tasks. Hence, the growing digital data, coupled with premium support offered by the AIOps platform, is driving the AIOps platform market. AIOps are beneficial for any company wishing to modernize to a digital platform that incorporates cutting-edge automation, analytics, artificial intelligence, and machine learning technologies. AIOps systems decrease the flood of warnings and can perform everyday tasks such as backups, server restarts, and low-risk maintenance. AIOps are expected to become widely used and mainstream soon, which will drive the market in the coming years.

📚𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭 𝐋𝐢𝐧𝐤 @ https://www.businessmarketinsights.com/reports/north-america-aiops-platform-market

𝐓𝐡𝐞 𝐋𝐢𝐬𝐭 ��𝐟 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬

AppDynamics

BMC Software, Inc.

Broadcom Inc.

Dynatrace LLC

HCL Technologies

IBM Corporation

Micro Focus

Moogsoft Inc.

Resolve Systems, LLC

Splunk, Inc.

Actionable Recommendations for Stakeholders:

Identify Untapped Segments: Explore niche markets within the North American AIOps landscape, such as edge computing AIOps or AIOps for specific industry verticals.

Develop Unique Value Propositions: Differentiate your offerings by focusing on specific capabilities, such as advanced AI-driven automation, security integration, or seamless cloud-native integration.

Leverage Data Analytics: Utilize data analytics to gain a deeper understanding of customer needs and market trends. This will enable you to develop targeted marketing campaigns and tailor your product offerings.

Build Strategic Partnerships: Collaborate with other technology vendors and service providers to create comprehensive AIOps solutions.

Invest in Talent Development: Address the talent shortage by investing in training and development programs to equip IT professionals with the skills needed to implement and manage AIOps platforms.

𝐀𝐛𝐨𝐮𝐭 𝐔𝐬: Business Market Insights is a market research platform that provides subscription service for industry and company reports. Our research team has extensive professional expertise in domains such as Electronics & Semiconductor; Aerospace & Defense; Automotive & Transportation; Energy & Power; Healthcare; Manufacturing & Construction; Food & Beverages; Chemicals & Materials; and Technology, Media, & Telecommunications

𝐀𝐮𝐭𝐡𝐨𝐫’𝐬 𝐁𝐢𝐨: 𝐏𝐫𝐚𝐠𝐚𝐭𝐢 𝐏𝐚𝐭𝐢𝐥 𝐒𝐞𝐧𝐢𝐨𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭

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sitereliability · 5 months ago

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SRE Training Online in Bangalore | SRE Courses

Key Tools for SRE in Modern IT Environments

Site Reliability Engineers (SREs) play a critical role in ensuring system reliability, scalability, and efficiency. Their work involves monitoring, automating, and optimizing infrastructure to maintain seamless service availability. To achieve this, SREs rely on a variety of tools designed to handle observability, incident management, automation, and infrastructure as code (IaC). This article explores the key tools that SREs use in modern IT environments to enhance system reliability and performance.

1. Monitoring and Observability Tools

Monitoring is essential for proactive issue detection and real-time system insights. Observability extends beyond monitoring by providing deep visibility into system behavior through metrics, logs, and traces. Site Reliability Engineering Training

Prominent Tools:

Prometheus – A leading open-source monitoring tool that collects and analyzes time-series data. It’s widely used for alerting and visualization.

Grafana – Works with Prometheus and other data sources to create detailed, interactive dashboards for monitoring system health.

Datadog – A cloud-based monitoring and security tool that provides full-stack observability, including logs, metrics, and traces.

New Relic – An end-to-end observability platform offering application performance monitoring (APM) and real-time analytics.

2. Incident Management and Alerting Tools

Incident management tools help SREs quickly identify, escalate, and resolve system failures to minimize downtime and service disruptions.

Prominent Tools:

PagerDuty – An industry-standard incident response tool that automates alerting, escalation, and on-call scheduling.

Opsgenie – Provides real-time incident notifications with intelligent alerting and seamless integration with monitoring tools.

Splunk on-Call (VictorOps) – Helps SRE teams collaborate and automate incident resolution workflows.

StatusPage by Atlassian – A communication tool to keep customers and internal stakeholders informed about system outages and updates. SRE Training Online

3. Configuration Management and Infrastructure as Code (IaC) Tools

Infrastructure as Code (IaC) enables automation, consistency, and scalability in system configuration and deployment. These tools allow SREs to manage infrastructure programmatically.

Prominent Tools:

Terraform – An open-source IaC tool that allows SREs to define and provision infrastructure across multiple cloud providers using declarative configuration files.

Ansible – A configuration management tool that automates software provisioning, application deployment, and system configuration.

Puppet – Helps enforce infrastructure consistency and automate complex workflows.

Chef – Uses code-based automation to manage infrastructure and ensure continuous compliance.

4. Logging and Log Analysis Tools

Logs provide critical insights into system performance, security events, and debugging. Effective log analysis helps troubleshoot issues faster and maintain system integrity.

Prominent Tools:

ELK Stack (Elasticsearch, Logstash, Kibana) – A powerful log analysis suite that collects, processes, and visualizes log data.

Splunk – A widely used enterprise-grade log management tool that offers advanced data indexing and analytics.

Graylog – An open-source log management solution known for its scalability and real-time search capabilities.

Fluentd – A lightweight log aggregator that integrates with multiple logging and monitoring systems. SRE Certification Course

5. Container Orchestration and Kubernetes Tools

SREs rely on containerization to enhance application scalability and efficiency. Kubernetes (K8s) is the dominant orchestration platform for managing containerized applications.

Prominent Tools:

Kubernetes – The industry-standard container orchestration tool that automates deployment, scaling, and management of containerized applications.

Docker – A widely used platform for containerizing applications, making them portable and consistent across environments.

Helm – A package manager for Kubernetes that simplifies deployment and management of applications in K8s environments.

Istio – A service mesh that enhances observability, security, and traffic management in Kubernetes deployments.

6. CI/CD and Automation Tools

Continuous Integration and Continuous Deployment (CI/CD) enable faster development cycles and seamless software delivery with minimal manual intervention.

Prominent Tools:

Jenkins – A leading open-source CI/CD automation server that facilitates build, test, and deployment processes.

GitHub Actions – A cloud-based CI/CD tool integrated with GitHub for automating workflows and deployments.

GitLab CI/CD – A DevOps platform offering robust CI/CD pipeline automation.

CircleCI – A highly scalable and flexible CI/CD tool for building and deploying applications efficiently. SRE Courses Online

7. Chaos Engineering Tools

Chaos engineering helps SREs test system resilience by introducing controlled failures and learning from system behavior under stress.

Prominent Tools:

Chaos Monkey – Developed by Netflix, this tool randomly terminates instances in production to test system robustness.

Gremlin – A controlled chaos engineering platform that helps teams identify weak points in system architecture.

LitmusChaos – A cloud-native chaos testing tool for Kubernetes environments.

Pumba – A lightweight chaos testing tool specifically designed for Docker containers.

Conclusion

Modern Site Reliability Engineers (SREs) rely on a diverse set of tools to monitor, automate, and optimize IT infrastructure. Whether it's observability, incident management, infrastructure automation, or chaos engineering, these tools help SRE teams ensure reliability, scalability, and efficiency in modern cloud environments. By leveraging these essential tools, SREs can proactively prevent failures, respond quickly to incidents, and continuously improve system reliability in an ever-evolving IT landscape.

Visualpath is the Best Software Online Training Institute in Hyderabad. Avail complete worldwide. You will get the best course at an affordable cost. For More Information about Site Reliability Engineering (SRE) training

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generativeinai · 5 months ago

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Step-by-Step Guide to AIOps Platform Development for Enterprises

As IT infrastructures become more complex, enterprises are increasingly turning to AIOps (Artificial Intelligence for IT Operations) platforms to streamline operations, enhance efficiency, and proactively manage incidents. A well-developed AIOps platform can automate troubleshooting, reduce downtime, and optimize IT performance using AI and machine learning.

In this blog, we’ll take you through a step-by-step guide to AIOps platform development for enterprises, covering everything from planning and data integration to model deployment and continuous optimization.

Step 1: Define Business Goals and Requirements

Before starting AIOps platform development, enterprises must clearly define objectives and align them with business needs. Key considerations include:

What IT challenges need to be solved? (e.g., downtime reduction, anomaly detection, performance optimization)

What metrics will define success? (e.g., Mean Time to Resolution (MTTR), system uptime, cost savings)

What existing IT tools and processes need integration?

A collaborative approach involving IT teams, data scientists, and business stakeholders ensures alignment between AIOps capabilities and enterprise goals.

Step 2: Choose the Right AIOps Architecture

The AIOps platform should be designed with scalability, flexibility, and real-time processing in mind. A typical AIOps architecture consists of:

1. Data Collection Layer

Collects data from logs, metrics, traces, and event streams

Integrates with IT monitoring tools (e.g., Splunk, Datadog, Prometheus)

2. Data Processing & Normalization

Cleans and structures raw data to prepare it for analysis

Eliminates redundant, outdated, and irrelevant data

3. AI & Machine Learning Models

Uses anomaly detection, predictive analytics, and event correlation algorithms

Applies natural language processing (NLP) for automated log analysis

4. Automation & Remediation Layer

Implements self-healing capabilities through automation scripts

Provides recommendations or auto-remediation for IT incidents

5. Visualization & Reporting

Dashboards and reports for monitoring insights

Custom alerts for proactive issue resolution

By selecting the right cloud-based, on-premises, or hybrid architecture, enterprises ensure scalability and flexibility.

Step 3: Data Integration & Collection

AIOps thrives on real-time, high-quality data from multiple sources. The platform should ingest data from:

IT infrastructure monitoring tools (Nagios, Zabbix)

Application performance monitoring (APM) tools (New Relic, AppDynamics)

Network monitoring tools (SolarWinds, Cisco DNA)

Cloud services (AWS CloudWatch, Azure Monitor)

💡 Best Practice: Use streaming data pipelines (Kafka, Apache Flink) for real-time event processing.

Step 4: Implement AI/ML Models for Analysis

The core of an AIOps platform is its AI-driven analysis. Enterprises should develop and deploy models for:

1. Anomaly Detection

Identifies abnormal patterns in system behavior using unsupervised learning

Helps detect issues before they escalate

2. Event Correlation & Noise Reduction

Uses graph-based analysis to correlate alerts from different sources

Filters out noise and reduces alert fatigue

3. Predictive Analytics

Forecasts potential failures using time-series forecasting models

Helps IT teams take preventive action

4. Incident Root Cause Analysis (RCA)

Uses AI-based pattern recognition to identify root causes

Reduces mean time to detect (MTTD) and mean time to resolve (MTTR)

💡 Best Practice: Continuously train and refine models using historical and real-time data for higher accuracy.

Step 5: Implement Automation & Self-Healing Capabilities

The true power of AIOps comes from its ability to automate responses and remediation. Enterprises should:

Automate routine IT tasks like server restarts, patch updates, and log cleanup

Use AI-driven playbooks for common incident resolution

Implement closed-loop automation where AI detects issues and applies fixes automatically

💡 Example: If an AIOps system detects high memory usage on a server, it can automatically restart specific processes without human intervention.

Step 6: Develop Dashboards & Alerts for Monitoring

To provide IT teams with real-time insights, enterprises must develop intuitive dashboards and alerting systems:

Use Grafana, Kibana, or Power BI for visualization

Set up dynamic alert thresholds using AI to prevent false positives

Enable multi-channel notifications (Slack, Teams, email, SMS)

💡 Best Practice: Implement explainable AI (XAI) to provide transparent insights into why alerts are triggered.

Step 7: Test, Deploy, and Optimize

After development, the AIOps platform should be rigorously tested for:

Scalability: Can it handle large data volumes?

Accuracy: Are AI models correctly identifying anomalies?

Latency: Is the system responding in real-time?

After successful testing, deploy the platform in stages (pilot → phased rollout → full deployment) to minimize risks.

💡 Best Practice: Implement a feedback loop where IT teams validate AI recommendations and continuously improve models.

Step 8: Continuous Learning and Improvement

AIOps is not a one-time setup—it requires continuous monitoring and optimization:

Retrain AI models regularly with new datasets

Refine automation workflows based on performance feedback

Incorporate user feedback to improve accuracy and usability

💡 Best Practice: Schedule quarterly AIOps audits to ensure efficiency and alignment with business goals.

Conclusion

Developing an AIOps platform for enterprises requires a structured, step-by-step approach—from goal setting and data integration to AI model deployment and automation. When implemented correctly, AIOps can enhance IT efficiency, reduce downtime, and enable proactive incident management.

#ai #artificial intelligence #enterprise search

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shinetechsoftware · 11 months ago

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Accelerating AI Development with Splunk's Comprehensive Data Platform

As artificial intelligence (AI) becomes increasingly integral to business operations, organizations are seeking ways to streamline their AI software development processes. One platform that has emerged as a powerful tool for this purpose is Splunk. In this blog post, we will explore how Splunk can enhance AI software development, the types of services it offers, why it is important, and why companies should use it when they need to.

How Splunk Helps in AI Software Development

Splunk provides a robust platform for collecting and indexing vast amounts of data from various sources. This is crucial for AI software development, as machine learning algorithms require large datasets to train and improve their performance. With Splunk's real-time analytics capabilities, developers can quickly identify patterns and trends in their data, enabling them to make informed decisions about the direction of their AI projects.

Moreover, Splunk integrates with popular machine learning frameworks like TensorFlow and PyTorch, allowing developers to easily incorporate AI models into their applications. This makes it easier to build intelligent systems that can learn from and adapt to new data. Additionally, Splunk's visualization tools enable developers to create interactive dashboards and reports, making it easy to share insights with stakeholders and communicate the progress of AI projects.

Types of Services Offered by Splunk

Splunk offers a range of services that cater to different aspects of AI software development. Its core functionality involves collecting and indexing data from various sources, including log files, network traffic, and sensor data. Once the data is collected, Splunk's search engine allows users to query and analyze their data using natural language searches, making it easy to identify patterns and trends.

Furthermore, Splunk's reporting and visualization tools enable users to create custom dashboards and reports, providing a clear overview of their data. Its alerting and monitoring features help users stay informed about critical events and system performance issues. By integrating with popular machine learning frameworks, Splunk enables developers to build intelligent systems that can learn from and adapt to new data. Finally, Splunk's security features help organizations monitor their systems for potential vulnerabilities and ensure compliance with relevant regulations.

Why Splunk Is Important

Splunk's scalable architecture allows organizations to process and analyze large volumes of data efficiently, making it an ideal platform for AI software development. Its flexible search and analysis capabilities enable developers to explore their data in new ways, leading to better insights and more effective AI solutions. Moreover, Splunk's collaboration features allow teams to work together more effectively, sharing insights and best practices to drive innovation in AI development.

By reducing the time and resources required for data collection, analysis, and visualization, Splunk helps organizations save money while still delivering high-quality AI solutions. As AI continues to evolve and become more integral to business operations, having a platform like Splunk in place will be essential for staying ahead of the competition and driving innovation.

Conclusion

In conclusion, Splunk plays a crucial role in enhancing AI software development by providing a scalable, flexible, and cost-effective platform for collecting, analyzing, and visualizing data. Its integration with popular machine learning frameworks and security features make it an essential tool for organizations looking to build intelligent systems that can learn from and adapt to new data. As AI continues to evolve and become more integral to business operations, having a platform like Splunk in place will be essential for staying ahead of the competition and driving innovation.

#splunk #software #ai

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thehasanwritesup · 4 years ago

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Top 10 Emerging Technology

Today we are going to talk about the top 10 futuristic technology which is going to change the world in a complete way.

Technology is ever-evolving, regardless of the the current market scenario technology is never limited in any condition. Technology is evolving with ground-breaking innovations to deal with our current issues. I am not at all surprised about people who are making predictions about the future of technology in the coming year. Yes, technology is making our life quite easier, here we will talk about the top 10 emerging technology that is going to be very much impactful for us in coming years.

• Artificial intelligence

It can be termed as the most transformative evolution in the field of technology. It will in near future be very helpful in the many fields like Healthcare, Entertainment, Cybersecurity, Vital Tasks, Translation & linguistics expertise area, Sports Training, Payments, Business Management & handling, Political Analysis, sports Strategizing, Purchases through Photographs and many more sectors to be named here.

o 5G technology is basically a fifth-generation technology standard for broadband cellular networks, Deployment of this technology is already rolled in by many telecom operators worldwide since 2019. 5G wireless technology is meant to deliver higher multi-GBPS peak data speeds, ultra-low latency, more reliability, massive network capacity, increased availability, and a more uniform user experience to more users. Higher performance and improved efficiency empower new user experiences and it connects new industries as well. Now talking about the future impact of this technology trust me it is going to be very promising as 5G is now the driving force behind technologies like Internet of things {IOT}, Artificial intelligence, and machine learning. The list of industries that will benefit from this technology is endless as the capabilities it offers will surpass anything currently in the place.5G have the advanced network infrastructure can help us more fully realize the benefits of cutting-edge technologies and create meaningful impressions for the end users. The areas which will be using these technologies are Healthcare, Healthcare, Manufacturing, Retail, Finance, Energy and Utilities. While these are just a few of the Industries that are going to be benefited from 5G in the near future, this innovation clearly is revolutionary for the world at large.

Autonomous Vehicles

o We can say the transportation has changed the way we have changed our life. So does the Autonomous Transportation is going to do this to world this time. We have seen tremendous evolution in this sector from horses and carts to cars and now automations of the mean. Autonomous Vehicle has been driven by Both technical innovation ad Socioeconomics factors. Till now this technology has achieved impressive milestones. It is in use since 2018 in many countries where they have similar infrastructure. But on the other hand, this technology is full of obstacles and unforeseen challenges. The good thing about this technology is that it has reduced the death rates by 90 % according to a report by McKinsey & Company. And moreover, in the years to come, the vehicles would have the potential to give a performance information and provide information to automakers and drivers about security, performance of the vehicle, Road Condition

Blockchain

It is a technology which allows digital information to be distributed but not copied. It is a kind of digital currency as example Bitcoin, Litecoin, Ethereum and the like. Let me explain you how this technology works Once a block is filled with data, it is chained to the previous block, thus making the data chained together in chronological order. Every block will have a unique hash on its own and store the hash of the previous block it was chained to. As soon as a new block is added to a blockchain, the entire blockchain record is updated in all the nodes that are part of the blockchain network, thereby creating a lot of replications of the blockchain so that even if one computer is corrupted or compromised, the entire blockchain data is available in all other nodes. In future the blockchains and cryptocurrency would be a major part of the mainstream financial system and may have to satisfy widely divergent criteria. Some economics analysts predict big changes in crypto when institutional money will enter the crypto market. However, there is a very fine possibility that crypto will be floated on the NASDAQ, which would further add credibility to blockchain and its uses as an alternative to conventional currencies.s •

Human Augmentations

o Human augmentations are a technique that is basically aiming towards enhancement of human ability using either medicine or technology, basically focusing on physical and cognitive improvement as an integral part of human body. Let us make You understand this by an example – Limb Prosthetics, it is created using active control system that will outrun the highest possible performance by natural human parts. Let us dip into past of Human augmentation it is more towards Technological studies rather than to be medicinal research. This technology has helped people with disabilities, along with healing the sick. It is also a technology which promises to end the physical disability and prevent human from different kid if injuries. As per studies in near future this technology can be used as an idea of improving the non-disabled with the help of bionics and prosthetic augmentation. Few more things which this technology can do is bionic human joints, embedded scanning, chemical balancing system to enhance physical activities, permanent and customisable contact lenses, augmented skulls, feet, artificial windpipes for human throats and there are a thousand thing to keep counting and going on. It does not limit it to this thing only, augmentation can offer things beyond our current imagination we are still sceptical about making this technology mainstream.

Internet of things

Let us understand IOT, Objects or things which are connected with software, sensors, and any technologies for the purpose of exchange of data or connecting with other devices and systems over the internet is referred to as IOT – internet of things .The power of IOT is that it can automate our homes and workplaces and in future it ay be used to design the entire city or state to deal with the traffic congestion parking issues or for making the city greener or environment rich. It will help to build better environments which in nature is intelligent, efficient, and sustainable. IOT has capability of building a smart economy and governance of a particular place or wherever it is applied. It will also enable us to enhance safety, cutting energy usage and cost and reducing environmental impact. Future looks quite promising with the increasing development of IOT.

Quantum Computing

o A technology which is very much remarkable trend in the current market scenario, It is a form of computing technology that works on the advantage of quantum phenomena like quantum entanglement and superposition. These computers are now many times faster than regular computers. There are many organisations which are involved in making innovations, to name those company few are as GOOGLE, AMAZON, MICROSOFT, HONEYWELL, SPLUNK. Uses of this technology is vast and cannot be limited to any single field. There are so many fields that is finding this technology useful are Banking and finances to manage credit card risk, analysis of online transactions, high frequency trading and fraud analysis. The future of this technology is quite highly aspiring as it can impact many sectors namely Healthcare, energy, finance, security, and entertainment. It is going to be an industry worth multibillion dollar by the end of 2030.

AI CLOUD SERVICES

o This technology is mix of few future technologies this is basically the merging of the machine learning capabilities of artificial intelligence with cloud-based computing environment enabling intuitive and connected experiences possible. Let us understand what cloud is first, cloud is a popular storage option used by both consumers and enterprise-level users. With cloud computing, AI is more plausible and With Cloud computing, AI is more plausible and accessible. It is primarily as most of the hardware that people use are incapable of handling AI applications. Yes, we are saying that smartphones and laptops are not competent to manage AI applications on their own Cloud provides better accuracy and speed for many GPU applications like machine vision. Hybrid cloud enables simple tasks to be parsed on device and run locally without the need of an internet connection

BIG DATA ANALYTICS

This technology is the use pf advanced analytics techniques against very large, diverse data sets that includes structured, semi structured, and unstructured data from different sources and in different sizes from terabytes to zettabytes. Big data are types of data whose size or type of the data that is beyond the ability of traditional relational databases to capture, manage and process the data with low latency, the future of this technology is something like this, it will enable a sharper focus on Data Governance, Decision making will be speed up by this technology through augmented analytics. It will play an important role in research it will be the supplement of researchers. Customer Experiences will be a far better smooth end. A lot of cloud participation will be increased either it is a public cloud space or private cloud space. This technology will be more accessible using cloud technologies •

Cybersecurity

This technology is the practice to safeguard our online existence, servers, mobile devices, electronics system, networks, and data from malicious attacks on the digital space. There are many other terms for the same technology i.e.- Information technology security, electronic information security. This technology basically keeps devices free from threat and attacks. There are 5 basics of cybersecurity Change, Compliance, Cost, Continuity, and Coverage. Sooner or later Humans will be replaced from this field and Artificial intelligence will take charge of cybersecurity. The important services of tomorrow demand crucial decisions today. Business change is exponential in that the strategies and changes made today will create the framework from which higher agility and innovation can be obtained. It is this agility that will produce the next and more significant round of transformation to build the business of the future.

#technology #cybersecurity #blog

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emaanderson · 2 years ago

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Industrial Operational Intelligence Solutions Market Trends, Technological Innovation And Forecasts Till 2029

Research Nester released a report titled “Industrial Operational Intelligence Solutions Market: Global Demand Analysis & Opportunity Outlook 2029” which delivers detailed overview of the global industrial operational intelligence solutions market in terms of market segmentation by product type, application, type of deployment, management services, end user industry and by region.

Further, for the in-depth analysis, the report encompasses the industry growth drivers, restraints, supply and demand risk, market attractiveness, BPS analysis and Porter’s five force model.

Industrial operational intelligence solutions deal with real-time dynamic data and delivers proper framework to understand the streams of data and help in business operations. Owing to their various applications and added advantages to the industries the global industrial operational intelligence solutions market is anticipated to record a significant CAGR over the forecast period, i.e., 2021-2029.

The global industrial operational intelligence solutions market is segmented by application into production optimization, maintenance, supply chain & logistics management, quality control systems and others, out of which, the supply chain & logistics management segment registered the largest market share in the year 2020 on account of the growing need amongst the organizations in the supply chain & logistics industry to optimize their process, reduce delivery time and inventory costs, which can be achieved by adopting industrial operational intelligence solutions.

Download Sample of This Strategic Report @ https://www.researchnester.com/sample-request-658

Based on the regional analysis, the global industrial operational intelligence solutions market is segmented into five major regions including North America, Europe, Asia Pacific, Latin America and Middle East & Africa region.

The market for industrial operational intelligence solutions in North America is predicted to hold the leading share in the market on account of the presence of leading market players in the region, coupled with the growing requirements amongst organizations for continuously improving the overall process efficiency.

Focus of Organizations to Optimize Work Processes and Adoption of Industrial IoT to Drive the Market Growth

As with the help of industrial operational intelligence solutions, businesses can easily analyze the raw data collected from the automated systems, such a factor is therefore anticipated to drive the growth of the market during the forecast period.

However, the factor of high cost of industrial operational intelligence solutions, lack of trained personnel and fear of cyber threats of these OI systems is estimated to hamper the market growth.

This report also provides the existing competitive scenario of some of the key players of the global industrial operational intelligence solutions market which includes company profiling of Data Axle, Siemens (ETR: SIE), Splunk Inc. (NASDAQ: SPLK), Vitria Technology, Inc., Dassault Systèmes (EPA: DSY), Rockwell Automation, Inc. (NYSE: ROK), Bentley Systems, Inc. (NASDAQ: BSY), KOFAX INC., Feedzai Inc., and Guavus, Inc.

The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and recent news and developments. On the whole, the report depicts detailed overview of the global industrial operational intelligence solutions market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.

#Industrial Operational Intelligence Solutions Market

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multisoftsystem · 4 months ago

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Splunk IT Service Intelligence (ITSI) Training Course

Gain expertise in IT service management with our Splunk IT Service Intelligence (ITSI) Training. Learn how to monitor, visualize, and analyze IT service performance using Splunk ITSI. This course covers the configuration, implementation, and management of ITSI, enabling you to optimize service delivery and resolve issues proactively. Ideal for IT professionals and service managers, this training will empower you to improve operational efficiency, enhance service monitoring, and streamline incident management in your organization.

Read more: https://www.multisoftsystems.com/business-intelligence/splunk-itsi-training

#ServiceNow ITOM Training #ServiceNow ITOM Certification #ServiceNow ITOM Online Course

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winsple · 4 years ago

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TOP 7 SKILLS YOU WILL NEED TO ACHIEVE -EXPERT STATUS IN IT SERVICE MANAGEMENT

skill are the ability, knowledge, and experience to do a task in an efficient way. Developing skill set is very essential. Improving skills and knowledge is an important aspect of human development. UNDP defines human development as process of enlarging people’s choices. The pre-essential choices of people includes living a long and healthy life, to acquire better health and a decent standard of living. Human development and economic development have a mutually influential relationship. Increase in human development causes drastic increase in economic development.

Information technology service management or ITSM are the service management performed by companies to operate, design, build and control all the services and offer to customers. The whole IT service focusses only on customers and delivering IT related activities to them. Thus, the core concept of Information technology service management is being customer oriented and being delivered as a service. Disaster recovery, performance management, capacity planning are critical areas where ITSM offer services. Some best ITSM tools are HubSpot, halo Spot, Wrike and SolarWinds service desk.

IT department is very complex, diverse, and wide ranging. In such a diverse department developing appropriate skills are very important. Developing these skills will be on high demand and easier to get into this widespread network. Let’s look into some 7 important skills to be developed for information technology service management.

1. DevOps

DevOps is a combination of development, quality assurance and operations. DevOps simplifies the process by bridging development, QA, infrastructure, and monitoring deployment. It is essential to automate deployment and to track bugs through tools like Jira, chef, Splunk etc. DevOps containing all these tools is a true winner. It is a development and operations collaboration. ? From innovation to deployment Devops helps to achieve faster time to market, lowers the failure rate, shortens the lead time, improves the mean time to recovery, disruption digitalization and so on. Infrastructure automation tools is used by DevOps. Infrastructure automation tools provide better reliability, accuracy, consistency, faster updates and no staff costs. DevOps is entering second decade

2. AI (artificial intelligence)

Artificial intelligence is the intelligence shown by machines.so, in simple words machines inherent the ability of thinking, learning and performing intellectual tasks. Artificial intelligence is used in everyday life like in smart air conditioner, autonomous cars, robots used in factories, cybersecurity fighting disinformation ,optimizing products and sales paths.

Artificial intelligence is a dominating tool in business.it plays chief role in business for smoothening overall process. Thus, a computer can think, learn ,help in problem solving , decision making and most importantly it can understand human communication. Artificial intelligence is boon for the mankind as it can reduce human error, provides digital assistance , reduces repetitive work and helps in planning.

3. IT service strategy

ITIL or information technology infrastructure library sets the benchmark for IT professionals . ITIL intermediate service strategy certification is another beneficiary step .

4. Newest ITIL update

The last update on ITIL was on 2018. Some ITIL courses like service operation (SO) , service design, planning protection and optimization, release control and optimization and MALC ( managing across the lifecycle) are some ITIL courses to get trained

5. Continual service improvement

CSI uses a method that can identify and utilizes the techniques for quality management and good delivery of services.

6. Security

Security is the foundation base of IT. Knowledge of installing firewalls, routers, and standards like PCI-DSS, HIPAA, ethical hacking and penetration testing are entry level skills.

7. Programming

Programming courses like python, java, C++, PowerShell are essential.

#winsple training certification ITservice

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luckytaconinja · 4 years ago

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ExcelR Data Science Courses In Chennai

Splunk For Analytics And Information Science

Data scientists may focus on a particular trade or develop strong expertise in areas such as synthetic intelligence, machine learning, analysis, or database administration. Specialization is a good approach to enhance your incomes potential and do work that is significant to you. This specialization is beneficial for those college students who are interested in constructing their information and skilled abilities to develop effective information analytics solutions in chosen utility domains.With Springboard, in addition to small tasks designed to strengthen specific technical ideas, you’ll full two capstone projects targeted on sensible data science scenarios you could show to future employers.

To Know More....

The programming is often fairly simple, you won’t need a Computer Science degree but some stage of programming is necessary. The two most typical languages utilized by data scientists are R and Python. Artificial intelligence or AI can be considered conceptually as an extension of machine studying that enables detection of patterns that don’t match a particular model.

There is usually just one interview held, which lasts as a lot as 30 minutes and can be held via video conferencing software. You will typically be asked to discuss analysis pursuits, reasons for applying, future profession plans, and why you think this degree programme is the easiest way to continue your research. Academic analysis related to knowledge science or experience working in related companies isn't required, however may be a bonus.

Data Science Courses

You may even learn about the google page ranking algorithm as a half of this module. Learn about improving reliability and accuracy of choice tree models using ensemble strategies. Bagging and Boosting are the go to techniques in ensemble methods.

Sanjay has cross business expertise incorporating Life Sciences, Healthcare, Financial Services and Insurance. He has sturdy individuals administration and communication expertise that he makes use of to inspire, motivate and lead his group. While working, his focus is all the time around building a high performing business unit.This module will uncover a few of the ideas and instruments behind operationalizing ML fashions, to guarantee that these can generate enterprise benefits by optimizing, automating and scaling the ML project pipeline. This mathematics module presents an introduction to the theoretical foundations of statistical methods that are useful in lots of purposes.

BUSINESS NAME: ExcelR- Data Science, Data Analytics, Business Analytics Course Training Chennai, Address: Block-B,1st Floor, HansaBuilding RK SwamyCentre, 147, Pathari Rd, Thousand Lights, Chennai, Tamil Nadu 600006, phone: 085913 64838 email: [email protected] Data Science Courses

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stellarcyber-security · 4 years ago

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When is Enough, Enough?

Are SIEMs the foundation to build on or are they empty promises?

With more complex cyberattacks on the rise, and with COVID-19 adding additional challenges to protecting the enterprise, is the SIEM the go-forward core of a next-gen security operations center (SOC), or is it time to consider new ideas?

We discuss daily the cybersecurity challenges with global thought leaders, but we wanted to get better insights into this challenge question to better understand the market. To that end, we contracted LeadtoMarket to perform a study with customers who have industry-leading SIEM platforms, to understand what is needed for customers to rethink their SOC practices and to consider a means to radically reduce costs and dramatically improve performance by reducing the complexity of day-to-day cybersecurity operations. The survey assumes the SIEM is foundational to the organization’s SOC today.

Nearly 50 of companies were contacted in the United States and Canada, including organizations from higher education, finance, healthcare, services and state/local government. Security decision makers were interviewed. In terms of installed base, 54% of disclosed responses used QRadar as their SIEM; 46% were Splunk customers.

Change is possible when…

Customers always tell us it can take up to 2 years to remove a vendor, adding in the real and intangible costs of training and best practices transfer. It’s no wonder that 52% of respondents will consider replacing their SIEM if the new platform reduces costs over 50% AND significantly reduces complexity.

Skills gap?

One of the premises we tried to test was the idea of a cybersecurity skills gap. We all talk to how hard it is to find skilled security analysts to run the SOC, do thoughtful and timely investigations and stop really bad breaches from happening.

With only three outliers, the average score of current SIEM overall satisfaction based on five criteria ranges from 7.6 to 8.5, or translating to a grade scale : C+/B-. These data tell an interesting story of ‘good enough,’ yet when combined with the responses above regarding Change, you might scratch your head and ask, “why?” Our take is that change is costly, and even ‘good enough’ is exactly that, good enough. Change might make things better, and then again, it might not. This is why the answer of getting both better costs and less complexity with cybersecurity tools makes sense. Enterprises want to see a much better improvement than just cost or complexity.

The outlying data mentioned also tells a story. There were some 10s and there were a few 4s and 5s. We mapped the differences to the availability of SIEM talent, large states and metros had no challenge finding skilled cybersecurity analysts, whereas smaller cities and rural states had more challenges.

It’s a Journey to an Intelligent SOC

What we found was that no two SOCs are alike, and the degree of additional cybersecurity tools or perceived future needs did not correlate to any particular variable such as organization size or vertical. Finance did stand out as having the most tools and it was easy to see they are much further along the path of defining a SOC to be SIEM + NTA+ user / entity behavioral analysis (UEBA) + security orchestration automation and response (SOAR) as well as Threat Hunting.

Specially, 24% of respondents are open to exploring additional tools to complement their SIEM, such as network traffic analysis (NTA), UEBA, Threat Hunting and SOAR.

While the data clearly shows installed cybersecurity infrastructure is performing adequately, a majority of respondents will consider new ideas that deliver tangible value. Of particular interest are ideas that reduce complexity and disrupt the incumbent vendors’ cost structure.

One new idea to consider is Stellar Cyber’s Open XDR Security Platform. It can slash complexity and costs while improving cybersecurity defenses. No matter what your current SOC looks like, Stellar Cyber inserts itself to improve your existing tools and data feeds, while bringing in additional applications to accelerate your journey to an intelligent SOC – all with one platform, one AI engine, one data lake and one license.

Download eBook

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emaanderson · 2 years ago

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Industrial Operational Intelligence Solutions Market Analysis By Growth and Future Opportunities Till 2029

Further, for the in-depth analysis, the report encompasses the industry growth drivers, restraints, supply and demand risk, market attractiveness, BPS analysis and Porter’s five force model.

Download Sample of This Strategic Report @ https://www.researchnester.com/sample-request-658

Focus of Organizations to Optimize Work Processes and Adoption of Industrial IoT to Drive the Market Growth

Organizations are focusing increasingly to reduce their cost of operations so that they can maximize their business profits. By adopting to industrial internet of things (IIoT), businesses can now automate their business processes and collect information, which are then monitored for enhancing the work processes. As with the help of industrial operational intelligence solutions, businesses can easily analyze the raw data collected from the automated systems, such a factor is therefore anticipated to drive the growth of the market during the forecast period.

However, the factor of high cost of industrial operational intelligence solutions, lack of trained personnel and fear of cyber threats of these OI systems is estimated to hamper the market growth.

Curious about this latest version of report? Obtain Report Details @ https://www.researchnester.com/reports/industrial-operational-intelligence-solutions-market/658

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sandlerresearch · 4 years ago

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Data Fabric Market by Type (Disk-Based, In-Memory), Business Applications (Fraud Detection and Security Management, Customer Experience Management, Business Process Management, GRC Management), Service, Vertical and Region - Global Forecast to 2026 published on

https://www.sandlerresearch.org/data-fabric-market-by-type-disk-based-in-memory-business-applications-fraud-detection-and-security-management-customer-experience-management-business-process-management-grc-management-servic.html

“The demand for data fabric is increasing as the technology promises faster delivery of business insights as per the requirements of end-users..”

The global Data fabric market size to grow from USD 1.0 billion in 2020 to USD 4.2 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 26.3% during the forecast period. Various factors such as increasing volume and variety of business data, emerging need for business agility and accessibility, and growing demand for real-time streaming analytics are expected to drive the adoption of the data fabric software and services.

The COVID-19 pandemic has forced businesses to find new alternatives for speedy recovery and attention to the urgent need to access enough data in crisis times. Disparate data stores hamper the efforts of business leaders to make fully informed decisions. Using a modern data architecture approach called data fabric, Ernst & Young (EY) developed Business Resiliency Data Fabric that enables access to data wherever it lives. Data fabric supports rapid technological change while increasing data entropy. To help alleviate the consequences of COVID-19, Denodo launched the Coronavirus Data Portal (CDP), a collaborative initiative that leverages data virtualization to unify critical datasets originally exposed in different formats from multiple sources and countries and make the unified data open to everyone. Using the CDP and the data virtualization capabilities of the Denodo Platform, pmOne created detailed reports and AI analysis, seamlessly orchestrating all the information streams in the pmOne Share Cockpit. The collaboration of Denodo and pmOne provided the global community with trustworthy, up-to-date data about COVID-19 that can be used to develop new intelligence about COVID-19 and reduce its impact. Banks have transitioned to remote sales and service teams and launched digital outreach to customers to make flexible payment arrangements for loans and mortgages. Grocery stores have shifted to online ordering and delivery as their primary business. Schools in many locales have pivoted to 100% online learning and digital classrooms. Doctors have begun delivering telemedicine, aided by more flexible regulation. These approaches have resulted in the rise of volume and variety of business data, the rise in need for business agility and data accessibility, and increasing demand for real-time streaming analytics, contributing to the growth of the data fabric market.

The software segment to have largest market size during the forecast period

The data fabric market has been segmented based on components into software and services. Data fabric makes the movement of data between cloud, storage systems, and data centers smoother, with low latency contributing to the adoption of data fabric software. The services segment, on the other hand, has been bifurcated into consulting services, support and maintenance, and education and training services.

In-memory data fabric segment to have the highest CAGR during the forecast period

Based on type of data fabric, the market has been segmented into disk-based data fabric and in-memory data fabric. The adoption of in-memory data fabric is expected to increase significantly in the coming years, owing to the reduction of costs that arise due to the storage and analysis of huge amounts of data.

Fraud detection and security management segment to account for largest market size during the forecast period

The data fabric market, by business application, comprises fraud detection and security management; governance, risk and compliance management; customer experience management; sales and marketing management; business process management; and other applications including supply chain management, asset management, and workforce management. Data fabric helps in automating the detection of data anomalies automatically and trigger actions to counter them. This not only minimizes losses but also improves regulatory compliance leading to the adoption of data fabric software for fraud detection and security management

Among regions, APAC to account for highest CAGR during the forecast period

North America is expected to hold the largest market size in the global data fabric market. In contrast, APAC is expected to grow at the highest CAGR during the forecast period due to its growing technology adoption rate. The major countries in APAC that are technology-driven and present major opportunities in terms of investments and revenue include Australia, China, Japan, India, and South Korea. This is the major driving factor for the adoption of Data fabric software in APAC.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the Data fabric market.

By Company: Tier I: 34%,Tier II: 43%, and Tier III: 23%

By Designation: C-Level Executives: 50%, D-Level Executives: 30%, and Managers: 20%

By Region: APAC: 30%, Europe: 30%, North America: 25%, MEA: 10%, Latin America: 5%

The report includes the study of key players offering data fabric solutions and services. It profiles major vendors in the global data fabric market. The major vendors in the global data fabric market are include include Denodo Technologies (US), Global IDs (US), IBM Corporation (US), Informatica (US), NetApp (US), Oracle Corporation (US), SAP SE (Germany), Software AG (Germany), Splunk (US), Talend (US), Dell Technologies (US), HP Enterprise (US), Teradata Corporation (US), TIBCO Software (US), Precisely (US), Idera (US), Nexla (US), Stardog (US), Gluent (US), Starburst Data (US), HEXstream (US), QOMPLX (US), CluedIn (Denmark), Iguazio (Israel), and Cinchy (Canada).

Research Coverage

The market study covers the data fabric market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as components, data fabric types, business applications, deployment mode, organization size, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall data fabric market and its sub segments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

#Information Technology #Software and Services

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uncle-ak · 5 years ago

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4 In Demand IT/Tech Jobs for 2021

If there is anything 2020 has thought us is that being in the Technology field is definitely a good career move. Essential workers like our Doctors and Nurses remain the heroes of this pandemic. But while you may still be getting help or giving help in the grocery store, we have seen a lot of non-essential jobs being taken from people and outsources or automated in some fashion. In the Information Technology or tech world as broad as it is, however, we not only saw people secure their jobs but actually grow in their role both financially and in skill. Here on Stuck in The Middle, we have had quite a few Entrepreneurs and leaders in the Tech world stop by with brilliant advice and stores of how they got their start and maneuvered the great lands of the tech industry. An individual who applies themselves can easily move from a $47k a year job to a $118k a year job in less than two years in tech. Here is a couple for your consideration.

1. Scrum Master

While “scrum master” might sound like a character in a role-playing game, it’s a serious job that’s rooted in leadership. The scrum master is responsible for ensuring a true scrum process over the course of a project. They hold together the scrum framework, facilitating the process for the organization, product owner and scrum team. The exam, which is fairly inexpensive contains 35 multiple-choice questions, where 24 must be answered correctly for a passing grade. A certified Scrum Master makes on average, depending on industry and region, between $80,000 and $130,000 annually.

Become a Scrum Master in Less Than 4 weeks w/ Kate Cham

https://www.youtube.com/watch?v=pfcJbCWhzs4&t=292s

2. Oracle Database Administrator

Oracle database administrators (DBAs), organize and store data using Oracle’s database software solutions. Businesses and corporations rely on Oracle database administrators to manage their data securely and efficiently. With a lot of companies going digital and storing data, this job is in extreme demand. Individuals can earn upwards of $93k to $145k as an Oracle DBA with little to no experience and the proper certification.

Learn how to become Oracle DBA certified and earn 6 figure salary w/ Gerald Pasi

https://www.youtube.com/watch?v=V-dn7G5kohQ&t=7s

3. Cybersecurity Trainer/Instructor

As many people are making career moves into the IT field, there is also the need for people with the knowledge and expertise to provide training and direction on navigating this vast terrain. You don’t need to get a Ph.D. or all the certifications are known to man in the world like Thanos gathering infinity stones to begin training a novice. The beautiful thing about the tech field is if you are a subject matter expert or on the other side of the pendulum as a beginner with just a few months of experience, you can begin training others and making money while doing it. Ways to do this include starting your own training course/school, which can be run completely online or in a brick and motor facility. On Stuck in The Middle we have spoken with Bertrand Fon, an Information Security Officer who makes an extra $7k to $10k a month training people online on how to become Cybersecurity Professionals. Chukwuemeka Nwaopara started Majestic Cyber Enterprise both to help people and also to augment his income while fulfilling his passion.

Become a Cybersecurity Trainer/Instructor w/ Chukwuemeka Nwaopara

https://www.youtube.com/watch?v=xMdcNUgbuHw&t=2s

4. Splunk and AWS

The Splunk platform makes machine data accessible and usable. Splunk Enterprise enables you to search, monitor, and analyze machine data from any source to gain valuable intelligence and insights across your entire organization and works well with the Amazon Web Services Platform. People with this knowledge and expertise make upwards of $87k to $170k annually. There are plenty of online courses and paths to becoming Splunk certified in less than a year.

Learn the pathway to becoming a Splunk and AWS professional w/ Sahr Lebbie

https://www.youtube.com/watch?v=0ARY6QEknjg

Here is a BONUS: Our In-Depth Q&A Discussion on EVERYTHING Cybersecurity Related with Bertrand Fon, Clifford Chu, & Ghislain Nchtou. They answer all the burning and curious questions. It’s a treat!

https://www.youtube.com/watch?v=yaEGclfCd90&t=387s

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blogtechfuturemrfrworld · 5 years ago

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Intelligent Threat Security Market is Increasing Rapidly Growing to Rapid Growth in Automotive Industry

Market Scope

Market Research Future (MRFR) reveals in an exhaustive analysis that the global intelligent threat security market 2020 can advance at a healthy rate of 18.1% during the evaluation period (2017 to 2023). The market size is set to touch USD 8.6 billion by 2023-end, adds MRFR.

Market Drivers and Primary Barriers

The intelligence aspect has gained significant imperative among organizations to analyze the threats with the use of available data points. This can lead to substantial business growth for intelligent threat security in the following years. The expanding cybercrime landscape in developed as well as developing countries has boosted the concern among organizations, driving the demand for intelligent threat security solutions.

Governments and a significant number of organizations are striving to bridge the gap between the expenditure on cyber security systems and the best way to mitigate the emerging threats. Given the usefulness and easy applicability of intelligence, more and more organizations are now integrating contextual data as well as information to detect the potential threats to the business, while offering actionable way to deal with the same.

The number of cybercriminals all over the world is rising at an alarming speed. These cybercriminals are rapidly gaining access into businesses, along with the increasing sophistication of the cyber-attacks. Apart from this, the attackers function as a legitimate organization, which is projected to grow at a high pace in the coming years. This disconcerting fact has boosted the fear of attack in industries like healthcare, government, BFSI, among others. These factors are leading to a surge in the awareness and funds on threat intelligence solutions in an attempt to combat any risks among organizations.

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Market Segmentation

Intelligent Threat Security industry has been extensively covered in the MRFR report, taking into account the primary segments of solution, service, deployment mode, organization size and vertical.

The solutions in the intelligent threat security market include security and vulnerability management (SVM), incident forensics, and risk management, log management, identity and access management (IAM), security information and event management (SIEM) and others. Between these, the leading position has been clinched by the SIEM segment as these solutions help track every record of the IT environment in an organization.

The services available in the market for intelligent threat security are advanced threat monitoring, managed service, professional service, security intelligence feed, training and support as well as consulting service,.

With respect to the deployment segment, the market has been considered for cloud along with on-premise. The cloud deployment can attain better growth rate in the next few years, given their cost-effectiveness. There is also no need of purchasing, maintaining and installing the hardware or software, which makes it more appealing among end-users.

The organization sizes covered are large enterprises as well as SMEs.

The segments that are based on vertical are education, manufacturing, IT & telecom, healthcare, retail, BFSI, energy & utilities, transportation, government, and others. In the years to come, the BFSI vertical is set to retain its lead in the market, revenue-wise. The growing incidences of cyber-attacks and frauds, surge in stringent regulations, efforts to protect from sophisticated threats and the urgent requirement for real-time detection has resulted in the dominance of the segment.

Regional Insight

The intelligent threat security market size is anticipated to expand in the regions of Europe, Asia Pacific (APAC), North America, in addition to the Rest-of-the-World (RoW). The intelligent threat security market growth in these regions is projected to be at varying levels in the upcoming years.

North America can potentially emerge as the top market for intelligent threat security on account of the increasing instances of cyber-attacks and threats. Also, more and more leading vendors are coming up with innovative and advanced threat intelligence technologies that can foster the market growth in the region. The U.S. governments’ strong approach towards reporting the increase in cybercrime helps the state and various other private organizations to gather the information and reach decisions pertaining to preventive measures as quickly as possible.

The fastest gaining market is expected to be APAC, due to the heavy investments in security systems by large enterprises as well as SMEs in Japan, India and China. This is the case because of the increasing number of data thefts and cyber-attacks. The rising number of cyber-crimes, escalating use of web and mobile applications, and the increasing support from the government also lays a strong foundation for the intelligent threat security market in the region.

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Significant Competitors

Significant competitors that account for the surge in the intelligent threat security market share across the globe include IBM Corporation (U.S.), McAfee LLC (U.S.), F-Secure Corporation (Europe), Check Point Software Technologies Ltd. (U.S.), Farsight Security Inc. (U.S.), LookingGlass Cyber Solutions Inc.(U.S.), FireEye Inc. (U.S.), AlienVault Inc. (U.S.), Juniper Networks Inc. (U.S.), Webroot Inc. (U.S.), LogRhythm Inc. (U.S.), Splunk Inc. (U.S.), Optiv Security Inc. (U.S.), Symantec Corporation (U.S.), Trend Micro Incorporated (Japan), Dell Technologies Inc. (U.S.), to name a few.

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